GREEN: Generative Radiology Report Evaluation and Error Notation Paper • 2405.03595 • Published May 6
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models Paper • 2411.04097 • Published Nov 6 • 5
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation Paper • 2211.12737 • Published Nov 23, 2022 • 2
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models Paper • 2305.01146 • Published May 2, 2023 • 1
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data Paper • 2308.11194 • Published Aug 22, 2023
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts Paper • 2309.07430 • Published Sep 14, 2023 • 27
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation Paper • 2401.12208 • Published Jan 22 • 22
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning Paper • 2107.05230 • Published Jul 12, 2021
Almanac: Retrieval-Augmented Language Models for Clinical Medicine Paper • 2303.01229 • Published Mar 1, 2023 • 1
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping Paper • 1902.01659 • Published Feb 5, 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology Paper • 1812.09764 • Published Dec 23, 2018